From Prototype to Production: Hardening AI Products

Building an AI-powered prototype is exciting. But turning it into a production-grade product is another story. The real challenge comes in making it reliable, accurate, and trusted enough for enterprises and other customers who won’t tolerate risk from non-deterministic systems.

How do the best AI product teams evaluate, harden, and evolve their products pre- and post-launch? How do they measure accuracy, performance, and safety to ensure their AI products deliver real, lasting value? And then, how do they maintain that moving forward?

This session is all about how to take AI products from demo-ready to production-grade, and how to keep them there even as the underlying LLMs evolve.

You’ll hear from two leaders who live this every day:

• Ian Cairns – CEO & Co-Founder of Freeplay, a platform built to help AI teams evaluate, monitor, and continuously improve their LLM products.
• Tyler Phillips – Principal Product Manager at Apollo.io, where he leads product initiatives at one of the fastest-growing AI-powered sales platforms.

Together, they’ll dive into the practices, evaluations, and systems that separate prototype AI apps from trusted, enterprise-ready products.

Food and drinks provided thanks to our new Sponsor Product Board!

Who Should Attend?

• Product Managers & Product Leaders bringing AI features to market
• Designers & Engineers working with AI systems
• Founders & Builders who want their AI products to move beyond “prototype” into enterprise-grade
• Anyone curious about how to make AI products more reliable, safe, and valuable

What You'll Walk Away With

• A deeper understanding of how to evaluate AI product performance pre- and post-launch
• Practical approaches to reducing risk and building trust in non-deterministic systems
• Insights from leaders who are scaling AI products at Freeplay and Apollo.io

Food & Drinks
We’ll have food, drinks, nest-level networking, and a casual mix-and-mingle vibe.

Come curious! Bring a friend!